文档分析能力 docs-analytics

集成Google Analytics和Algolia分析,通过用户旅程分析和内容性能指标来衡量和优化文档的有效性。

DevOps 0 次安装 0 次浏览 更新于 2/26/2026

文档分析能力

通过集成分析、搜索洞察、用户旅程分析和内容性能指标来衡量文档的有效性。

功能

  • 集成Google Analytics进行文档站点分析
  • 集成Algolia分析搜索模式
  • 用户旅程分析和流程跟踪
  • 内容参与度指标
  • 搜索查询分析和差距识别
  • 页面性能指标
  • 热图集成(Hotjar等)
  • 自定义事件跟踪
  • 文档ROI测量

使用

当您需要:

  • 设置文档分析
  • 分析文档使用模式
  • 从搜索数据中识别内容差距
  • 衡量文档有效性
  • 通过文档优化用户旅程

输入

参数 类型 必需 描述
docsUrl string 文档站点URL
analyticsProvider string ga4, algolia, plausible, custom
trackingId string 分析跟踪ID
algoliaAppId string Algolia应用程序ID
algoliaApiKey string Algolia API密钥用于分析
enableHeatmaps boolean 启用热图跟踪
customEvents array 要跟踪的自定义事件

输入示例

{
  "docsUrl": "https://docs.example.com",
  "analyticsProvider": "ga4",
  "trackingId": "G-XXXXXXXXXX",
  "algoliaAppId": "ALGOLIA_APP_ID",
  "enableHeatmaps": true,
  "customEvents": [
    "code_copy",
    "feedback_submitted",
    "version_switch"
  ]
}

输出结构

analytics/
├── reports/
│   ├── monthly-summary.json
│   ├── search-analysis.json
│   ├── content-gaps.json
│   └── user-journeys.json
├── dashboards/
│   ├── overview.html
│   └── search-insights.html
└── config/
    ├── ga4-config.json
    └── algolia-config.json

Google Analytics 4集成

GA4配置

// analytics.js
window.dataLayer = window.dataLayer || [];
function gtag() {
  dataLayer.push(arguments);
}gtag('js', new Date());
gtag('config', 'G-XXXXXXXXXX', {
  // 自定义维度用于文档
  custom_map: {
    dimension1: 'doc_version',
    dimension2: 'doc_section',
    dimension3: 'search_query',
    dimension4: 'code_language',
  },
});

// 跟踪文档版本
gtag('set', 'user_properties', {
  doc_version: document.querySelector('meta[name="docs-version"]')?.content,
});

自定义事件

// 跟踪代码块复制
document.querySelectorAll('pre code').forEach((block) => {
  block.addEventListener('click', () => {
    gtag('event', 'code_copy', {
      event_category: 'engagement',
      event_label: block.className, // 语言
      page_location: window.location.href,
    });
  });
});

// 跟踪文档反馈
function trackFeedback(helpful, pageUrl) {
  gtag('event', 'doc_feedback', {
    event_category: 'feedback',
    event_label: helpful ? 'helpful' : 'not_helpful',
    page_location: pageUrl,
  });
}

// 跟踪版本切换
function trackVersionSwitch(fromVersion, toVersion) {
  gtag('event', 'version_switch', {
    event_category: 'navigation',
    from_version: fromVersion,
    to_version: toVersion,
  });
}

// 跟踪页面停留时间
let startTime = Date.now();
window.addEventListener('beforeunload', () => {
  const timeSpent = Math.round((Date.now() - startTime) / 1000);
  gtag('event', 'time_on_page', {
    event_category: 'engagement',
    value: timeSpent,
    page_location: window.location.href,
  });
});

// 跟踪滚动深度
let maxScroll = 0;
window.addEventListener('scroll', () => {
  const scrollPercent = Math.round(
    (window.scrollY / (document.body.scrollHeight - window.innerHeight)) * 100
  );
  if (scrollPercent > maxScroll) {
    maxScroll = scrollPercent;
    if ([25, 50, 75, 90, 100].includes(scrollPercent)) {
      gtag('event', 'scroll_depth', {
        event_category: 'engagement',
        value: scrollPercent,
        page_location: window.location.href,
      });
    }
  }
});

// 跟踪外部链接点击
document.querySelectorAll('a[href^="http"]').forEach((link) => {
  link.addEventListener('click', () => {
    gtag('event', 'outbound_click', {
      event_category: 'engagement',
      event_label: link.href,
      page_location: window.location.href,
    });
  });
});

Algolia分析集成

DocSearch分析

// Algolia DocSearch带分析
import docsearch from '@docsearch/js';

docsearch({
  appId: 'YOUR_APP_ID',
  apiKey: 'YOUR_SEARCH_API_KEY',
  indexName: 'YOUR_INDEX_NAME',
  container: '#docsearch',
  debug: false,
  insights: true, // 启用Algolia分析
  searchParameters: {
    analytics: true,
    clickAnalytics: true,
    enablePersonalization: false,
  },
});

搜索分析API

// 从Algolia获取搜索分析
const algoliasearch = require('algoliasearch');
const analyticsClient = algoliasearch('APP_ID', 'ADMIN_API_KEY');

async function getSearchAnalytics() {
  const index = analyticsClient.initIndex('docs');

  // 获取热门搜索
  const topSearches = await analyticsClient.customRequest({
    method: 'GET',
    path: '/2/searches',
    data: {
      index: 'docs',
      startDate: '2026-01-01',
      endDate: '2026-01-24',
      limit: 100,
      orderBy: 'searchCount',
    },
  });

  // 获取无结果搜索
  const noResultSearches = await analyticsClient.customRequest({
    method: 'GET',
    path: '/2/searches/noResults',
    data: {
      index: 'docs',
      startDate: '2026-01-01',
      endDate: '2026-01-24',
      limit: 100,
    },
  });

  // 获取点击率
  const clickAnalytics = await analyticsClient.customRequest({
    method: 'GET',
    path: '/2/clicks/clickThroughRate',
    data: {
      index: 'docs',
      startDate: '2026-01-01',
      endDate: '2026-01-24',
    },
  });

  return {
    topSearches: topSearches.searches,
    noResultSearches: noResultSearches.searches,
    clickThroughRate: clickAnalytics,
  };
}

搜索差距分析

// 分析返回无结果的搜索查询
async function analyzeContentGaps(noResultSearches) {
  const gaps = [];

  for (const search of noResultSearches) {
    // 按主题分类
    const category = categorizeQuery(search.search);

    gaps.push({
      query: search.search,
      count: search.count,
      category,
      suggestedContent: generateContentSuggestion(search.search),
      priority: calculatePriority(search.count),
    });
  }

  return gaps.sort((a, b) => b.count - a.count);
}

function categorizeQuery(query) {
  const categories = {
    api: /api|endpoint|rest|graphql|webhook/i,
    authentication: /auth|login|oauth|token|api.?key/i,
    integration: /integrate|connect|setup|install/i,
    error: /error|fail|issue|problem|not.?work/i,
    pricing: /price|cost|plan|billing/i,
  };

  for (const [category, pattern] of Object.entries(categories)) {
    if (pattern.test(query)) return category;
  }
  return 'general';
}

用户旅程分析

旅程跟踪

// 跟踪用户通过文档的旅程
const journey = {
  sessionId: generateSessionId(),
  startTime: Date.now(),
  pages: [],
  searches: [],
  events: [],
};

// 跟踪页面浏览
function trackPageView(pageUrl, pageTitle) {
  journey.pages.push({
    url: pageUrl,
    title: pageTitle,
    timestamp: Date.now(),
    timeOnPrevPage: calculateTimeOnPrevPage(),
  });
}

// 跟踪搜索
function trackSearch(query, results) {
  journey.searches.push({
    query,
    resultsCount: results.length,
    timestamp: Date.now(),
    clickedResult: null,
  });
}

// 跟踪搜索结果点击
function trackSearchClick(query, resultUrl, position) {
  const search = journey.searches.find((s) => s.query === query);
  if (search) {
    search.clickedResult = { url: resultUrl, position };
  }
}

// 分析旅程模式
function analyzeJourney(journey) {
  return {
    totalPages: journey.pages.length,
    totalTime: Date.now() - journey.startTime,
    searchesBeforeSuccess: countSearchesBeforeSuccess(journey),
    commonPaths: identifyCommonPaths(journey.pages),
    dropOffPoints: identifyDropOffPoints(journey.pages),
  };
}

常见旅程模式

// 识别常见文档路径
async function getCommonPaths(journeys) {
  const pathCounts = {};

  journeys.forEach((journey) => {
    const path = journey.pages
      .map((p) => p.url)
      .slice(0, 5)
      .join(' -> ');
    pathCounts[path] = (pathCounts[path] || 0) + 1;
  });

  return Object.entries(pathCounts)
    .sort((a, b) => b[1] - a[1])
    .slice(0, 20)
    .map(([path, count]) => ({
      path,
      count,
      percentage: ((count / journeys.length) * 100).toFixed(1),
    }));
}

内容性能指标

参与度指标

// 计算内容参与度得分
function calculateEngagementScore(pageMetrics) {
  const weights = {
    avgTimeOnPage: 0.3,
    scrollDepth: 0.2,
    codeBlockInteractions: 0.2,
    feedbackScore: 0.15,
    exitRate: -0.15, // 负权重
  };

  return Object.entries(weights).reduce((score, [metric, weight]) => {
    return score + normalizeMetric(pageMetrics[metric]) * weight;
  }, 0);
}

// 页面性能报告
function generatePageReport(pageUrl) {
  return {
    url: pageUrl,
    metrics: {
      pageviews: getPageviews(pageUrl),
      uniqueVisitors: getUniqueVisitors(pageUrl),
      avgTimeOnPage: getAvgTimeOnPage(pageUrl),
      bounceRate: getBounceRate(pageUrl),
      exitRate: getExitRate(pageUrl),
      scrollDepth: {
        '25%': getScrollDepthPercent(pageUrl, 25),
        '50%': getScrollDepthPercent(pageUrl, 50),
        '75%': getScrollDepthPercent(pageUrl, 75),
        '100%': getScrollDepthPercent(pageUrl, 100),
      },
      feedback: {
        helpful: getHelpfulCount(pageUrl),
        notHelpful: getNotHelpfulCount(pageUrl),
        score: getFeedbackScore(pageUrl),
      },
      codeInteractions: getCodeInteractions(pageUrl),
    },
    engagementScore: calculateEngagementScore(pageMetrics),
    recommendations: generateRecommendations(pageMetrics),
  };
}

内容差距报告

{
  "period": "2026-01",
  "summary": {
    "totalSearches": 45230,
    "uniqueSearches": 8432,
    "noResultSearches": 1234,
    "avgClickThroughRate": 0.68
  },
  "contentGaps": [
    {
      "query": "webhook authentication",
      "searchCount": 342,
      "category": "authentication",
      "suggestedContent": {
        "type": "guide",
        "title": "Webhook Authentication Guide",
        "outline": [
          "Introduction to webhook security",
          "Signature verification",
          "Best practices"
        ]
      },
      "priority": "high"
    },
    {
      "query": "rate limiting best practices",
      "searchCount": 256,
      "category": "api",
      "suggestedContent": {
        "type": "guide",
        "title": "Rate Limiting Best Practices",
        "outline": [
          "Understanding rate limits",
          "Handling 429 responses",
          "Exponential backoff implementation"
        ]
      },
      "priority": "high"
    }
  ],
  "topSearches": [
    { "query": "authentication", "count": 1543 },
    { "query": "api keys", "count": 1232 },
    { "query": "getting started", "count": 987 }
  ],
  "lowPerformingPages": [
    {
      "url": "/docs/advanced/caching",
      "issues": ["high bounce rate", "low scroll depth"],
      "recommendations": [
        "Add more code examples",
        "Include visual diagrams"
      ]
    }
  ]
}

仪表板配置

Docusaurus分析

// docusaurus.config.js
module.exports = {
  plugins: [
    [
      '@docusaurus/plugin-google-gtag',
      {
        trackingID: 'G-XXXXXXXXXX',
        anonymizeIP: true,
      },
    ],
  ],
  themeConfig: {
    algolia: {
      appId: 'YOUR_APP_ID',
      apiKey: 'YOUR_SEARCH_API_KEY',
      indexName: 'YOUR_INDEX_NAME',
      insights: true,
    },
  },
  scripts: [
    {
      src: '/js/custom-analytics.js',
      async: true,
    },
  ],
};

MkDocs分析

# mkdocs.yml
plugins:
  - search:
      analytics:
        provider: algolia
        property: YOUR_INDEX_NAME

extra:
  analytics:
    provider: google
    property: G-XXXXXXXXXX
    feedback:
      title: Was this page helpful?
      ratings:
        - icon: material/emoticon-happy-outline
          name: This page was helpful
          data: 1
          note: Thanks for your feedback!
        - icon: material/emoticon-sad-outline
          name: This page could be improved
          data: 0
          note: Thanks! Help us improve by using the feedback form.

工作流程

  1. 配置分析 - 设置GA4和/或Algolia
  2. 实施跟踪 - 添加自定义事件跟踪
  3. 收集数据 - 收集使用度量
  4. 分析模式 - 识别趋势和差距
  5. 生成报告 - 创建可操作的洞察
  6. 优化内容 - 基于数据改进

依赖关系

{
  "dependencies": {
    "algoliasearch": "^4.0.0",
    "@docsearch/js": "^3.0.0"
  },
  "devDependencies": {
    "@google-analytics/data": "^4.0.0"
  }
}

最佳实践应用

  • 跟踪有意义的事件,不仅仅是页面浏览
  • 分析搜索查询以发现内容差距
  • 超越页面停留时间的参与度测量
  • 从数据中创建可操作的洞察
  • 尊重用户隐私(GDPR合规)
  • 专注于文档ROI

参考

目标流程

  • docs-audit.js
  • content-strategy.js
  • knowledge-base-setup.js
  • docs-testing.js